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Record W2613593424 · doi:10.6000/1927-5129.2017.13.33

Effect of Astragalus eremophilus on the Growth of Bracharia ramose

2017· article· en· W2613593424 on OpenAlexvenueno aff
Muhammad Nadeem Khan, Mushtaq Ahmad, Rahmat Ali Khan, Nadia Mushtaq, Muhammad Wasim Khan, Mir Sadiq Shah, Muhammad Nisar Ul Haq

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsnot available
Fundersnot available
KeywordsAstragalusStalkAllelopathyAqueous extractAqueous solutionBiologyTraditional medicineBotanyChemistryHorticultureGermination

Abstract

fetched live from OpenAlex

Astragalus eremophilus is traditionally used as a potent antimicrobial, anti-inflammatory and antioxidant medicinal plant. In the present study we proposed to assess an allelopathic property of the aqueous extract of Astragalus eremophilus. Proposed plant of Astragalus eremophilus was collected from the catchment area of University of Science and Technology Bannu in its growing season. The plant parts were dried in shed, grounded to powdered form and saturated with de-ionized water to prepare aqueous crude extract. Promising effects were shown by the crude aqueous extract of Astragalus eremophilus (root and stalk) growth control and least stalk development at high concentration with respect to control. The effect of Astragalus eremophilus on roots and stalk development of Bracharia ramose is as follows; 40% > 30% > 20% > 10%. Astragalus eremophilus could be used as an alternative for weed control as evident by the present study, where further characterization studies are recommended for the production of plant based natural herbicides.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.259
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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